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9,568 papers
Vision-language models (VLMs) are increasingly used to interpret charts and generate natural-language explanations for socially consequential data. However, they may produce different narratives for the same chart when only the referenced social group changes, reinforcing stereotypes and misleading decisions. Despite t...
A structured multi stage interface generation framework that decomposes the task into visualization design representation, generation of multiple interface candidates, constraint-aware critique, and self-refinement is proposed, demonstrating a practical path toward more reliable language-driven interactive visualizatio...
Multimodal embedding models are deployed at scale: retrieval indices, benchmark results, and behavioral audits all depend on the base model's exact outputs. Extending such a model to a new modality with existing parameter-efficient methods silently changes those outputs; LoRA-style adaptation rewrites the text path whe...
The Differentiable Fuzzy Inference Layer (DFIL), a dual-path prediction head pairing a standard classifier with a scalar-bottlenecked branch grounded in a bank of ordered membership functions, is introduced.
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The SpecialEduBench, which measures pedagogical competence along knowledge, skill, and attitude, is introduced, with 4,537 knowledge items and with 200 skill items and 68 attitude items built on recorded intervention, the attitude items crossing pressure with monitoring into 192 response cells.
Across three multi-hop QA benchmarks, with the evaluation protocol fixed before the full-scale run, the CoVeR-gated agent matches the answer accuracy of both the full-budget agent and the always-verify baseline within a fraction of an EM point.
This work test whether expressed uncertainty, provenance-aware assertion, and explicit belief revision can be implemented as a behavior layer over a fixed language model over a fixed language model and supported conclusions are limited to the by-construction audit guarantee, store-dependent partial correction discrimin...
This study provides a compact and scalable semantic foundation for large-scale information processing and evidence mapping in water treatment research by developing WaterBERT, a domain-adapted encoder model designed for semantic representation and structured information extraction from water treatment texts.
ClusterFewshot is proposed, a strategy that combines semantic structuring with utility-aware scoring to construct representative and effective few-shot demonstration sets and substantially reduces optimization cost across multiple benchmarks.
This work identifies a systematic upstream/downstream structure in dLLM rollouts and proposes Informed Masking (IM), which derives a per-token priority score from the denoising trajectory at zero extra inference cost and biases mask sampling toward downstream tokens.
This work provides a systematic analysis protocol for studying length-based training in variable-length speech models through matched comparisons, and results are consistent with a link between chunk-length variation and token weighting.
The first experiments on isolated sign language recognition (ISLR) for Icelandic Sign Language (ITM) are presented, and transfer from better-resourced sign languages is promising for very low-resource ones.
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Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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